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Developing complex, reliable advanced accelerators requires a coordinated, extensible, and comprehensive approach in modeling, from source to the end of beam lifetime. We present highlights in Exascale Computing to scale accelerator…

Machine learning has emerged as a powerful solution to the modern challenges in accelerator physics. However, the limited availability of beam time, the computational cost of simulations, and the high-dimensionality of optimisation problems…

Accelerator Physics · Physics 2024-05-30 Jan Kaiser , Chenran Xu , Annika Eichler , Andrea Santamaria Garcia

This paper presents a novel multimodal perception system for a real open environment. The proposed system includes an embedded computation platform, cameras, ultrasonic sensors, GPS, and IMU devices. Unlike the traditional frameworks, our…

Robotics · Computer Science 2024-12-03 Yuyang Sha

Context. The magnetic field in the solar atmosphere continually reconnects and accelerates charged particles to high energies. Simulations of the atmosphere in three dimensions that include the effects of accelerated particles can aid our…

Solar and Stellar Astrophysics · Physics 2022-10-05 L. Frogner , B. V. Gudiksen

Motivated by the need for realistic, dynamically self-consistent, evolving galaxy models that avoid the complexity of full, and zoom-in, cosmological simulations, we have developed NEXUS, an integral framework to create and evolve synthetic…

This work introduces a new software package `Sesame' for the numerical computation of classical semiconductor equations. It supports 1 and 2-dimensional systems and provides tools to easily implement extended defects such as grain…

Applied Physics · Physics 2019-05-01 Benoit Gaury , Yubo Sun , Peter Bermel , Paul M. Haney

Recent developments and validation tests related to the simulation of X-ray fluorescence and PIXE with Geant4 are reviewed. They concern new models for PIXE, which has enabled the first Geant4-based simulation of PIXE in a concrete…

EnsembleSVM is a free software package containing efficient routines to perform ensemble learning with support vector machine (SVM) base models. It currently offers ensemble methods based on binary SVM models. Our implementation avoids…

Machine Learning · Statistics 2014-03-05 Marc Claesen , Frank De Smet , Johan Suykens , Bart De Moor

The Cloud-Edge continuum enhances application performance by bringing computation closer to data sources. However, it presents considerable challenges in managing resources and determining service placement, as these tasks require…

Networking and Internet Architecture · Computer Science 2026-01-27 Jacopo Massa , Valerio De Caro , Stefano Forti , Patrizio Dazzi , Davide Bacciu , Antonio Brogi

We present Simitate --- a hybrid benchmarking suite targeting the evaluation of approaches for imitation learning. A dataset containing 1938 sequences where humans perform daily activities in a realistic environment is presented. The…

Machine Learning · Computer Science 2019-05-16 Raphael Memmesheimer , Ivanna Mykhalchyshyna , Viktor Seib , Dietrich Paulus

The open-source PyNX toolkit [Favre-Nicolin et al (2011) arXiv:1010.2641, Mandula et al (2016)] has been extended to provide tools for coherent X-ray imaging data analysis and simulation. All calculations can be executed on graphical…

The integration of data from diverse sensor modalities (e.g., camera and LiDAR) constitutes a prevalent methodology within the ambit of autonomous driving scenarios. Recent advancements in efficient point cloud transformers have underscored…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Yutao Zhu , Xiaosong Jia , Xinyu Yang , Junchi Yan

We present Simphony, a free and open-source software toolbox for abstracting and simulating photonic integrated circuits, implemented in Python. The toolbox is both fast and easily extensible; plugins can be written to provide compatibility…

Emerging Technologies · Computer Science 2020-09-14 Sequoia Ploeg , Hyrum Gunther , Ryan M. Camacho

Sample-induced image-degradation remains an intricate wave-optical problem in light-sheet microscopy. Here we present biobeam, an open-source software package that enables to simulate operational light-sheet microscopes by combining data…

Biological Physics · Physics 2018-07-04 Martin Weigert , Eugene W. Myers , Moritz Kreysing

Beam-dump experiments offer an opportunity to search for new physics beyond the Standard Model of particle physics. In this work, we explore the use of a high-energy photon beam on a fixed target. Such photons can be produced via Compton…

High Energy Physics - Phenomenology · Physics 2025-03-28 Ivo Schulthess , Federico Meloni

We present the public release of EXP, a basis function expansion C++ library and Python package for running N-body galactic simulations and dynamical discovery. EXP grew out of the need for methodology that seamlessly connects theoretical…

Astrophysics of Galaxies · Physics 2025-05-13 Michael S. Petersen , Martin D. Weinberg

Particle induced X-ray emission (PIXE) is a physical effect that is not yet adequately modelled in Geant4. The current status as in Geant4 9.2 release is reviewed and new developments are described. The capabilities of the software…

Computational Physics · Physics 2015-05-18 M. G. Pia , G. Weidenspointner , M. Augelli , L. Quintieri , P. Saracco , M. Sudhakar , A. Zoglauer

Merlin++ is a C++ charged-particle tracking library developed for the simulation and analysis of complex beam dynamics within high energy particle accelerators. Accurate simulation and analysis of particle dynamics is an essential part of…

The synchrotron light source, a cutting-edge large-scale user facility, requires autonomous synchrotron beamline operations, a crucial technique that should enable experiments to be conducted automatically, reliably, and safely with minimum…

Computer Vision and Pattern Recognition · Computer Science 2025-06-03 Baolu Li , Hongkai Yu , Huiming Sun , Jin Ma , Yuewei Lin , Lu Ma , Yonghua Du

libEnsemble is a Python-based toolkit for running dynamic ensembles, developed as part of the DOE Exascale Computing Project. The toolkit utilizes a unique generator--simulator--allocator paradigm, where generators produce input for…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-06 Stephen Hudson , Jeffrey Larson , John-Luke Navarro , Stefan M. Wild